论文概览 |《Sustainable Cities and Society》2024.12 Vol.116

本次给大家整理的是《Sustainable Cities and Society》杂志2024年12月第116期的论文的题目和摘要，一共包括52篇SCI论文！

---

论文1

Enhancing road traffic flow in sustainable cities through transformer models: Advancements and challenges

通过变压器模型增强可持续城市道路交通流：进展与挑战

【摘要】

Efficient traffic flow is crucial for sustainable cities, as it directly impacts energy consumption, pollution levels, and overall quality of life. The integration of superficial intelligence, particularly transformer models, plays a significant role in enhancing the predictive capabilities for traffic management, thereby supporting sustainable urban development. In this survey, we explored the application of transformer models to predict and optimize traffic flow in sustainable cities. These models leverage advanced machine learning to capture intricate spatiotemporal patterns,thereby providing valuable insights for urban planners and traffic management centers. By systematically reviewing the literature, we emphasize the importance of transformer models in urban planning and sustainable resource use. Our study demonstrates how transformer models can learn complex spatiotemporal patterns from traffic data by incorporating both real-time and historical data to enhance prediction accuracy. This improved predictive capability aids the development of smart cities by reducing traffic congestion, facilitating smoother movement for city dwellers and tourists, and ultimately contributing to the sustainability goals of urban areas. This comprehensive review highlights the transformative potential of predictive modeling using transformer models, underscoring their critical role in optimizing urban infrastructure and promoting sustainable city development.
 

【摘要翻译】高效的交通流对可持续城市至关重要，因为它直接影响能源消耗、污染水平和整体生活质量。特别是集成表面智能，尤其是变压器模型（transformer models），在增强交通管理的预测能力方面发挥着重要作用，从而支持可持续的城市发展。在这项调查中，我们探索了变压器模型在可持续城市中预测和优化交通流的应用。这些模型利用先进的机器学习来捕捉复杂的时空模式，为城市规划者和交通管理中心提供宝贵的洞察。通过系统地审查文献，我们强调了变压器模型在城市规划和可持续资源利用中的重要性。我们的研究表明，变压器模型可以通过结合实时和历史数据来学习交通数据中的复杂时空模式，从而提高预测准确性。这种提高的预测能力有助于智能城市的发展，减少交通拥堵，为城市居民和游客提供更顺畅的流动，并最终为城市地区的可持续性目标做出贡献。这项全面的综述强调了使用变压器模型进行预测建模的变革潜力，强调了它们在优化城市基础设施和促进可持续城市发展中的关键作用。

---

论文2

Exhaustive overview of advances in integrating renewable energy sources into district heating systems
全面概述将可再生能源集成到区域供热系统中的进展
 

【摘要】The COVID-19 pandemic, unprecedented in scale and impact, has significantly influenced consumer spending. This study leverages a longitudinal transaction dataset from South Korea to analyze how the pandemic, social distancing policies, and pandemic-related search interest have shaped spending within and across cities. We examine transaction volume and expenditure amount as city-level indicators of activity intensity and consumption demand across four stages of the early pandemic. The study finds that: (1) Social distancing caused reductions in both residents' and travelers' spending. The increase in search interest coincided with a rise in residents' spending but a decline in travelers' spending; (2) Resident transactions experienced a moderate and persistent decline across all stages, while expenditure rebounded after the 1st national outbreak. Traveler transactions and expenditure showed similar trends, with declines during outbreaks and recoveries during stable periods; (3) Disparities across cities were associated with proximity to outbreak centers and socioeconomic attributes. Cities with larger populations or those closer to epicenters experienced greater reductions in spending, while less densely populated cities saw increased traveler spending during the 2nd stable period; (4) Travelers' spending from distant cities significantly decreased during the 1st outbreak but gradually recovered as the pandemic continued, indicating evolving behavior and adaptation; (5) Changes across spending categories exhibited significant heterogeneity. Residents showed increased demand for essential goods and online shopping, while recreation-related industries struggled throughout. These findings highlight the characteristics and disparities among consumers, cities, and industries, providing information for policymakers to formulate tailored support programs for industries experiencing increased demand or significant impacts. This study emphasizes the need to develop robust strategies for crisis management and economic resilience to mitigate the impacts of future health crises.

【摘要翻译】

本研究提供了区域供热系统（DHSs）各个方面最新进展的全面概述，重点关注与不同可再生能源（RES）集成的第四代和第五代热分布网络。研究强调了应用于DHSs的各种先进可再生技术的综合方法，如太阳能和地热能、生物质、工业废热，特别是传统热泵（HPs）和太阳能辅助热泵与太阳能热（ST）、光伏（PV）或光伏-热（PV/T）板在弹性和可持续建筑和DHS中的实施，以提高能源和环境性能。制冷剂的无效性可以用来快速评估仅通过运行温度值的HP能效，并评估HP-PV/T混合系统的能量性能，还考虑了使用全球季节性能因子（SPFHP-PV）。此外，它还展示了使用作为涡轮机工作的泵从DHSs中回收过度压力的可能性。研究还描述了DHSs的主要组成部分和演变，简要回顾了低温和超低温DHSs，以及将钻孔和热水热能储存（TES）技术实施到DHS中。它还讨论了DHS的主要优化技术、仿真工具、控制方法和维护，以及RES与DHS的替代连接模式。最后，一些原始研究和文献综述包括在弹性和可持续建筑和DHS中实施各种RES的几个应用。

---

论文3

Longitudinal association between urban blue-green space exposure and mortality: A systematic review and meta-analysis of exposure types and buffers
城市蓝绿空间暴露与死亡率之间的纵向关联：关于暴露类型和缓冲区的系统评价与荟萃分析
 

【摘要】Exposure to urban blue-green space1(UBGS) affects human health, but how to integrate long-term exposure to guide the measurement and intervention of UBGS remains unclear. We aimed to synthesize the latest evidence from longitudinal cohort studies on the association between objectively measured UBGS exposure and mortality, highlighting differences in health effect sizes across exposure types and buffers. We systematically reviewed articles published through January 2024 from PubMed, Web of Science, and Scopus and conducted a meta-analysis of the longitudinal associations between exposure and mortality in 21 studies involving 28,700,187 participants from 14 countries with a median follow-up of 10.3 years. Quantitative assessment indicated that the normalized difference vegetation index from satellite data and the green proportion from land use or land cover were protective against all-cause mortality: the former had a significantly larger effect size (per 0.1-unit increase, pooled HR 95 % CI: 0.97, 0.96–0.98) and showed the greatest effect at 500 m compared with the ≤300 m and ≥1000 m buffers. UBGS exposure had a more pronounced protective effect on respiratory mortality than on all-cause, circulatory, and cancer mortality, with opposite trends across buffer sizes. The findings were primarily for green space, as studies on blue space were limited in number and included varied metrics. Although the hazard ratios were fully adjusted for sociodemographic covariates and buffered subgroup analysis was conducted, residual confounding cannot be completely excluded. Further research should focus on differences in exposure types, especially blue spaces, analyze potential mechanisms, and validate the findings across different geographical contexts.
 

【摘要翻译】
城市蓝绿空间（UBGS）暴露对人类健康有影响，但如何整合长期暴露以指导UBGS的测量和干预仍不清楚。我们的目标是综合来自纵向队列研究的最新证据，研究客观测量的UBGS暴露与死亡率之间的关联，强调不同暴露类型和缓冲区之间健康效应大小的差异。我们系统性地回顾了截至2024年1月在PubMed、Web of Science和Scopus上发表的文章，并对21项研究中的暴露与死亡率之间的纵向关联进行了荟萃分析，这些研究涉及来自14个国家的28,700,187名参与者，随访中位数为10.3年。定量评估表明，来自卫星数据的归一化差异植被指数和土地利用或土地覆盖的绿地比例对全因死亡率具有保护作用：前者的效应大小显著更大（每增加0.1单位，合并风险比（HR）95%置信区间：0.97，0.96–0.98），在500米缓冲区内的效果最大，相较于≤300米和≥1000米的缓冲区。UBGS暴露对呼吸系统死亡率的保护作用比对全因死亡率、循环系统死亡率和癌症死亡率的保护作用更为显著，且在不同缓冲区大小之间呈现相反的趋势。研究结果主要针对绿地，因为关于蓝地的研究数量有限且包含的指标各异。尽管风险比已针对社会人口学协变量进行了全面调整，并进行了缓冲区子组分析，但仍无法完全排除残余混杂的可能性。未来的研究应关注暴露类型的差异，特别是蓝地，分析潜在机制，并在不同地理背景下验证研究结果。

---

论文4

Bridging smart technologies and healthy cities: A scoping review using WHO's 6P framework
连接智能技术与健康城市：使用世界卫生组织6P框架的范围综述
 

【摘要】Urbanization's public health challenges have led to smart city initiatives, but the integration of these technologies within the World Health Organization's (WHO) Healthy Cities framework remains underexplored. This study maps the smart technologies employed for urban health and examines their alignment with the six components of the WHO framework: People, Place, Participation, Prosperity, Peace, and Planet. A scoping review of literature published between 2000 and 2024 was performed by searching five databases. Studies were included if they described smart technologies used for urban health and were published in English and peer-reviewed journal articles or conference papers. An analysis of 41 studies revealed that sensors, web applications, and machine learning were the most used technologies. Place-related technologies were predominant, focusing on environmental monitoring and infrastructure management. While the other themes were well represented, there was a notable absence of People and Participation-related technologies. This study provides comprehensive mapping of smart technologies within the WHO's framework, contributing to the goal of sustainable and healthy cities. Findings highlight the significant gap in human-centric and participatory approaches, emphasizing the need for more inclusive and equitable cities. Future research and policy should prioritize integrating underrepresented themes to better align with the WHO's Healthy Cities vision.
 

【摘要翻译】
城市化带来的公共卫生挑战促使了智能城市倡议的产生，但这些技术在世界卫生组织（WHO）健康城市框架内的整合仍待深入探索。本研究将用于城市健康的智慧技术与WHO框架的六个组成部分进行了对应：人（People）、地点（Place）、参与（Participation）、繁荣（Prosperity）、和平（Peace）和地球（Planet）。通过对2000年至2024年间发表的文献进行范围综述，搜索了五个数据库。如果研究描述了用于城市健康的智慧技术，并且是发表在英语同行评审期刊文章或会议论文中，那么这些研究就被纳入本综述。对41项研究的分析显示，传感器、网络应用和机器学习是最常用的技术。与地点相关的技术占主导地位，重点关注环境监测和基础设施管理。虽然其他主题也有很好地体现，但与“人”和“参与”相关的技术明显缺失。本研究在WHO框架内对智慧技术进行了全面的对应，为实现可持续和健康城市的目标做出了贡献。研究结果突出了以人为中心和参与性方法方面的重要差距，强调了建设更具包容性和公平性城市的必要性。未来的研究和政策应优先整合代表性不足的主题，以更好地与WHO的健康城市愿景保持一致。

---

论文5

Multi-period Charging Infrastructure Planning under Uncertainty: Challenges and Opportunities
多时期充电基础设施规划中的不确定性：挑战与机遇
 

【摘要】Long-term charging infrastructure planning is imperative to sustain the rapid adoption of electric vehicles (EVs) in line with climate goals. While the literature on spatial planning of charging infrastructure is well documented, the temporal dimension has received limited attention. This paper comprehensively reviews the literature on multi-period charging infrastructure planning under uncertainty. It examines the complex interplay between EV mobility and the energy sector. Four gaps are identified after examining 44 pertinent studies published from January 1990 to March 2024.Firstly, current models are predominantly deterministic and myopic, lacking a forward-looking approach to accommodate future uncertainties. Secondly, most studies rely on EVs’ aggregated mobility and charging patterns, leading to inaccurate charging demand forecasts and suboptimal plans. Addressing this requires integrating vehicle-level agent-based models that accurately depict EVs’ charging patterns, and their interactions with charging stations and the grid. Thirdly, the impact of improved charging infrastructure on EV adoption is generally ignored. Joint consideration of charging demand forecasting with infrastructure planning is essential to incorporate such infrastructure-demand feedback loops. Lastly, current planning frameworks show limited integration of grid expansion, operations, and renewable energy sources To address these gaps, we propose a dynamic programming-based framework and solution approach to this planning problem.
 

【摘要翻译】
长期充电基础设施规划对于支持电动汽车（EV）的快速采用以实现气候目标至关重要。尽管关于充电基础设施空间规划的文献已有充分记录，但时间维度却鲜有关注。本文全面回顾了在不确定性下多时期充电基础设施规划的文献。它考察了电动汽车流动性与能源部门之间复杂的相互作用。在审查了从1990年1月至2024年3月发表的44项相关研究后，我们识别出了四个差距。首先，当前模型主要是确定性的和短视的，缺乏前瞻性的方法来适应未来的不确定性。其次，大多数研究依赖于电动汽车的聚合流动性和充电模式，导致充电需求预测不准确和次优的规划。解决这一问题需要整合能够准确描述电动汽车充电模式及其与充电站和电网互动的车辆级代理模型。第三，改善充电基础设施对电动汽车采用的影响通常被忽视。联合考虑充电需求预测与基础设施规划是必要的，以纳入这种基础设施需求反馈循环。最后，当前规划框架显示对电网扩展、运营和可再生能源的整合有限。为了解决这些差距，我们提出了一个基于动态规划的框架和解决方案，以解决这一规划问题。

---

论文6

An integrated hydrological-hydrogeological model for analysing spatio-temporal probability of groundwater infiltration in urban infrastructure
用于分析城市基础设施中地下水渗透的时空概率的综合水文-水文地质模型

【摘要】While groundwater serves as a valuable resource, its infiltration poses significant challenges to urban infrastructure. This study develops and demonstrates a computationally efficient spatio-temporal analysis of groundwater infiltration (GWI) in urban facilities, specifically sewer networks (SNs), within the Lower River Otter Water Body, United Kingdom. To achieve this, the Fuzzy-Analytic Hierarchy Process (F-AHP) within a Geographic Information System (GIS) framework was employed, considering geology, geomorphology, hydrology, hydrogeology, climate, and topography. The proposed model encompasses 16 thematic maps, categorised into 6 groups: (1) groundwater (groundwater depth (GWD)); (2) altitude (elevation, slope, and topographic wetness index); (3) precipitation (monthly precipitation); (4) ground cover (rock permeability, alluvial permeability, soil type, land cover, and made ground); (5) earth movement (fault proximity, fault length density, and mass movement); and (6) runoff (river, flood potential, and drainage density). Expert judgment, F-analysis, and AHP were applied to the layers for classification, normalisation, and weight assignment, respectively. Verified by data from outfalls, GWI probability maps were generated considering the shallowest GWD and highest precipitation for temporal analysis. Overall, higher GWI probability scores were found in regions with shallower GWD, lower elevations, especially near river, and higher permeabilities. Assigning a probability score between 0 and 1 for each 1-metre area in each season, the vulnerability maps can guide water agencies in implementing protective strategies for infrastructure. The findings contribute to enhancing groundwater sustainability in urban areas, particularly in the face of potential climate change.

【摘要翻译】
地下水作为一种宝贵的资源，其渗透对城市基础设施构成了重大挑战。本研究开发并展示了一种计算效率高的城市设施中地下水渗透（GWI）的时空分析方法，特别是针对英国奥特河下游水体中的污水管网（SNs）。为此，在地理信息系统（GIS）框架内采用了模糊-层次分析过程（F-AHP），考虑了地质、地貌、水文、水文地质、气候和地形等因素。所提出的模型包括16个主题地图，分为6组：（1）地下水（地下水位深度（GWD））；（2）高程（海拔、坡度和地形湿度指数）；（3）降水（月降水量）；（4）地面覆盖（岩石渗透性、冲积层渗透性、土壤类型、土地覆盖和人造地面）；（5）地面运动（断层接近度、断层长度密度和大规模运动）；以及（6）径流（河流、洪水潜力和排水密度）。专家判断、F分析和AHP分别应用于图层的分类、归一化和权重分配。通过排放口的数据验证，生成了考虑最浅GWD和最高降水量的GWI概率地图，用于时间分析。总体而言，发现在地下水位较浅、海拔较低的地区，特别是在河流附近和渗透性较高的地区，GWI概率得分较高。为每个季节的每个1平方米区域分配0到1之间的概率得分，脆弱性地图可以指导水务机构实施基础设施的保护策略。这些发现有助于提高城市地区的地下水可持续性，特别是在面临潜在气候变化的情况下。

---

论文7

Circular economy strategies research for Beijing buildings in a low-carbon future
北京建筑在低碳未来中的循环经济战略研究
 

【摘要】The circular economy strategy can effectively reconcile the contradiction between human activities and the ecological environment through utilizing resources efficiently and circularly, thereby promoting global low-carbon sustainable development. However, it lacks application in urban buildings. This study constructs the four-layer framework based on the turnover dynamic stock model and carbon emissions method. Combined with 7 circular economy strategies and scenario analysis, this framework captures the production, demand, use, recycling and reuse of 13 major materials in 7 prototypes of 3 types for Beijing's buildings, and explores the potential of dematerialization and low-carbon development from 2022 to 2060. Results indicate that the floor area will continue to grow to 1749.00 million m2by 2060, material requirements will increase by 49.64 Mt annually, and CO2 emissions will increase by 8.26 Mt annually under current policies. Circular economy strategies can reduce cumulative material requirements by 20.40–762.09 Mt and CO2 emissions by 2.62–157.46 Mt until 2060, which have enormous abatement potential for materials and CO2 emissions. Executing multi-strategy simultaneously demonstrates superior overall effectiveness compared to individual strategies, which resulted in a cumulative reduction of 40.40 % of material requirements and 50.14 % of CO2 emissions. Decarbonizing buildings, promoting sustainable development, and contributing to achieving "3060" dual carbon goals require a collaborative implementation of multiple strategies.
 

【摘要翻译】
循环经济战略通过高效和循环利用资源，可以有效调和人类活动与生态环境之间的矛盾，从而促进全球低碳可持续发展。然而，这一战略在城市建筑中的应用尚显不足。本研究基于周转动态库存模型和碳排放方法构建了四层框架。结合7种循环经济战略和情景分析，该框架捕捉了北京建筑7种原型中13种主要材料的生产、需求、使用、回收和再利用，探讨了从2022年到2060年的去物质化和低碳发展潜力。结果表明，在当前政策下，建筑面积将继续增长至2060年的1749.00百万平方米，材料需求将每年增加49.64百万吨，CO2排放将每年增加8.26百万吨。循环经济战略可以减少累计材料需求20.40至762.09百万吨，CO2排放减少2.62至157.46百万吨，直到2060年，这在材料和CO2排放减少方面具有巨大的潜力。同时执行多种战略显示出比单一战略更优越的整体效果，导致材料需求累计减少了40.40%，CO2排放减少了50.14%。实现建筑脱碳、促进可持续发展，并助力实现“3060”双碳目标，需要协同实施多种战略。

---

论文8
 

Evaluating urban heat island to achieve sustainable development goals: A case study of Tiruchirappalli city, India
评估城市热岛效应以实现可持续发展目标：印度蒂鲁吉拉帕利市的案例研究
 

【摘要】Tiruchirappalli City the fourth largest municipal corporation in Tamilnadu, India is witnessing accelerated urban growth. The city has exacerbated the microclimate indicating a significant increase in land surface temperature. The study aims to establish the differentiation of land surface temperature of city between 2001, 2011, and 2021 of summer months using Landsat images to examine the effects of urban heat island. The results shows that the temperature ranged from 31.23°C to 37.45°C between 2011 and 2021. The assessed land surface temperature (LST) is correlated and the result shows a positive correlation between the LST-normalised difference built-up index (NDBI) and a negative correlation between the LST-normalised difference vegetation index (NDVI) and a weak correlation between LST-BSI and LST-MNDWI of summer months examined. Further, the urban thermal field variance index (UTFVI) of the city is analysed. The thermal condition of the city during April has significantly changed from 5.14 % of area in 2001 to 12.19 % of area in 2021 (UTFVI >0.020, Strongest) of worst ecological valuation index. The selected city is experiencing major thermal conditions (UTFVI 0.010–0.015) of ecological evaluation index from bad to worst. This study will help mitigate the urban heat island effect and promote sustainable development for rapid urbanization.
 

【摘要翻译】蒂鲁吉拉帕利市是印度泰米尔纳德邦第四大市政公司，正在经历加速的城市增长。该城市的微气候状况加剧，表明地表温度显著上升。本研究旨在利用Landsat图像确定2001年、2011年和2021年夏季城市地表温度的差异，以检验城市热岛效应的影响。结果显示，2011年至2021年间温度范围在31.23°C至37.45°C之间。评估的地表温度（LST）与归一化差异建筑指数（NDBI）呈正相关，与归一化差异植被指数（NDVI）呈负相关，与地表温度-裸土指数（BSI）和地表温度-改良归一化差异水体指数（MNDWI）的夏季月份检验呈弱相关。此外，还分析了城市的城乡热场变异指数（UTFVI）。从2001年的5.14%到2021年的12.19%（UTFVI >0.020，最强），城市在4月份的热状况发生了显著变化，最差的生态评价指数面积有所增加。选定城市正在经历从差到最差的生态评价指数的主要热条件（UTFVI 0.010–0.015）。这项研究将有助于减轻城市热岛效应，促进快速城市化的可持续发展。

---

论文9

Robust day-ahead scheduling of cooperative energy communities considering multiple aggregators
考虑多个聚合商的合作能源社区的稳健日前调度
 

【摘要】Future cities must play a vital role in reducing energy consumption and decarbonizing the electricity sector, thus evolving from passive structures towards more efficient smart cities. This transition can be facilitated by energy communities. This emerging paradigm consists of collectivizing a set of residential installations equipped with onsite renewable generators and storage assets (i.e., prosumers), which can eventually share resources to pursue collective welfare. This paper focuses on cooperative communities, where prosumers share resources without seeking selfish monetary counterparts. Despite their apparent advantages, energy management and scheduling of energy communities suppose a challenge for conventional tools due to the high level of uncertainty (especially due to intermittent renewable generation and random demand), and privacy concerns among prosumers. This paper addresses these issues. Specifically, a novel management structure based on multiple aggregators is proposed. This paradigm preserves users' confidential features while allowing them to extract the full potential of their assets. To efficiently manage the variety of assets available under uncertainty, an adaptive robust day-ahead scheduling model is developed, which casts as a solvable and portable Mixed Integer Linear Programming framework, which eases its implementation in real-world cases. The new proposal concerns uncertain generation and demand using a polyhedral representation of the uncertainty set. A case study is conducted to validate the developed model, showing promising results. Moreover, different results are obtained and analysed. Finally, it is worth remarking on how the level of robustness impacts the collective bill, incrementing it by 75 % when risk-averse conditions are assumed. In addition, the role of storage assets under pessimistic conditions is remarked, pointing out that these assets rule the scheduling plan of the community instead of renewable generators.
 

【摘要翻译】
未来城市在减少能源消耗和电力部门脱碳方面必须发挥重要作用，从而从被动结构向更高效的智能城市发展。这一转变可以通过能源社区来促进。这种新兴范式包括将配备现场可再生发电机和储能资产（即产消者）的一系列住宅设施集体化，这些设施最终可以共享资源以追求集体福利。本文关注合作社区，其中产消者共享资源而不是寻求自私的金钱对等物。尽管它们有明显的优势，但能源社区的能源管理和调度对传统工具来说是一个挑战，因为存在高度的不确定性（特别是由于间歇性的可再生能源发电和随机需求），以及产消者之间的隐私问题。本文解决了这些问题。具体来说，提出了一种基于多个聚合商的新型管理结构。这种范式保留了用户的保密特征，同时允许他们充分利用其资产的潜力。为了在不确定性下有效管理各种可用资产，开发了一个自适应的稳健日前调度模型，该模型被构建为一个可解且可移植的混合整数线性规划框架，这有助于其在现实世界案例中的实施。新提案涉及不确定的发电和需求，使用不确定性集的多面体表示。进行了案例研究以验证开发的模型，显示出有希望的结果。此外，获得了不同的结果并进行了分析。最后，值得指出的是，稳健性水平如何影响集体账单，在假设风险规避条件时将其增加了75%。此外，在悲观条件下储能资产的作用被强调，指出这些资产而不是可再生发电机决定了社区的调度计划。

---

论文10

Nighttime Street View Imagery: A new perspective for sensing urban lighting landscape
夜间街景图像：感知城市照明景观的新视角
【摘要】Urban lighting reflects nocturnal activities and it is traditionally observed using Nighttime Lights (NTL) satellite imagery. Few studies systematically measure the nightscape from a human perspective. This study brings a new paradigm — urban lighting sensing via Nighttime Street View Imagery (SVI). The paradigm draws on the accomplishments of (daytime) SVI and gives attention to its ignored nighttime counterpart. We put forward this idea by manually collecting 2,831 nighttime SVIs across various urban functional areas in Singapore. We investigated their values by developing a use case for clustering nighttime lighting patterns. To mitigate the scarcity of nighttime SVI, deep learning regression models were trained to predict nighttime brightness based on corresponding daytime SVIs obtained from widely available sources. The results were compared with brightness data derived from satellite imagery, to affirm the novelty and uniqueness of nighttime SVI. As a result, there are 7 lighting patterns within the collected nighttime SVI, distinct in lighted spot features and total brightness. The identified patterns effectively characterize different urban function scenarios. The best trained brightness prediction model performs well in revealing the city-scale lighting landscape. The SVI-predicted brightness shows a distribution similar to the brightness from satellite imagery and complements it in urban